Any report by asking the AI Co-Worker

No dashboards to learn, no exports to wrangle — a data analyst on staff for every client, answering in the same chat where you run everything else

An agency running ten clients doesn’t have time to learn a BI tool, build ten dashboards, and keep them updated. Chatfuel takes a different route: the analyst is already on staff. Ask the AI Co-Worker a question in plain language — inside any client’s company — and it answers from that client’s real data: the conversations, the pipeline, the bookings, the outcomes. Every report you’ll read about in this section is pulled exactly this way.

A chat bubble unfolding in mid-air into a bar chart, a funnel and a pie chart

Ask anything

The Co-Worker covers the whole span from “one number, quick” to “read a hundred conversations and tell me what’s wrong”:

You wantAsk something like
The funnel”show conversion funnel”, “business report”
Period stats”new leads this month”, “how does this month compare to last?”
Hot leads to push today”who are my hot leads”
Deals about to die”clients at risk”, “who went silent”
One lead’s full story”what did we discuss with Maria?”
A contact, fast”who is this number”, “find contacts with email set”
Why deals are lost”why do deals fail”
What leads keep asking”what do clients ask most”
Where the AI struggles”why is AI failing”, “find AI mistakes in conversations”
AI Co-Worker chat answering a 'business report' request with a stage funnel and a list of recommendations
Ask 'business report' — the funnel, the conversions and the recommendations come back in one answer

No query language, no filters to configure — the phrasing above is literally how you ask.

It reads the actual conversations

This is the part dashboards can’t do. The Co-Worker doesn’t just count rows — it reads the transcripts. Ask “why do deals fail” and it studies lost conversations against won ones, names the typical drop-off point, and lists the objection patterns — quoting the leads’ real messages, not paraphrasing. Ask “what do clients ask most” and it mines the whole history for recurring questions, complaints, and missed opportunities. Sentiment, open issues, what was agreed with a specific lead — it’s all in there, because it’s all in the conversations.

And it plays by an analyst’s rules: it never invents a number. Every figure comes from the client’s actual data, and if the data isn’t there, it says so instead of estimating.

Every report ends in a to-do

A funnel chart that just sits there is trivia. The Co-Worker’s reports end with what to do: a business report closes with its top recommendations, a risk scan ends with the list of contacts to rescue first, an AI diagnostic names the exact knowledge worth adding to the Knowledge Base. It surfaces and advises — the actions themselves (messaging leads, changing bot settings) stay yours to trigger, which is exactly how you want an analyst to behave around a client’s live funnel.

The agency workflow

Because every client is a separate company in your workspace, the same questions work identically across your whole roster. A Monday routine that used to be a morning of spreadsheet archaeology becomes ten minutes of chat: open each client’s company, ask “business report” and “clients at risk”, collect the numbers and the to-dos, move on. Same questions, every client, zero setup per client.

AI Co-Worker chat listing hot leads with the reason each one is flagged
One question surfaces the leads worth chasing today — names and why each one made the list
Answers are only as good as the data behind them

The Co-Worker reports on what actually happened in the client’s funnel — so the quality bar is set upstream. A well-filled Knowledge Base and qualification fields that match the niche make every answer sharper, from the funnel counts to the lost-deal analysis.

Where to next